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Paper Citation Record · LEDGER

Chain-of-Thought for Large Language Model-empowered Wireless Communications

As of 9 August 2026, this Paper Citation Record lists 15 of 15 outbound references and 6 inbound Pith citation observations for arXiv:2505.22320.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2505.22320 v1

Coverage vector

measured 15 of 15 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:15:20.155944Z

measured 21 of 21 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T21:16:15.009546Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-05-12T05:51:26.260756Z

Reference resolution

15 of 15 outbound references displayed

  • verified exact1
  • verified fuzzy12
  • unresolved2
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation cfeaf5bf-2da0-4f3d-8dbf-6739f8455b87 · outbound

This paper cites Large Language Model-Based Wireless Network Design,.

Chain-of-Thought for Large Language Model-empowered Wireless Communications Large Language Model-Based Wireless Network Design,

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:15:23.065812Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T13:15:19.079800Z digest=sha256:a2585c1c17c63db2049239041715ba776c1ddc71760781eea3e7de77fd05a79c

Observation e2a24041-7fdb-4a77-a995-95062e6e4435 · outbound

This paper cites Large Language Model (LLM) for Telecommunications: A Comprehensive Survey on Principles, Key Techniques, and Opportunities,.

Chain-of-Thought for Large Language Model-empowered Wireless Communications Large Language Model (LLM) for Telecommunications: A Comprehensive Survey on Principles, Key Techniques, and Opportunities,

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:15:22.820721Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T13:15:19.125545Z digest=sha256:4bcd7a21191d28833c74363630aa342e184f9d5d4d70c115f7898f7ced46d3a9

Observation fb57f483-cc53-428b-a6a7-c724e20d14da · outbound

This paper cites Chain-of-Thought Prompting Elicits Reasoning in Large Language Models,.

Chain-of-Thought for Large Language Model-empowered Wireless Communications Chain-of-Thought Prompting Elicits Reasoning in Large Language Models,

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:15:22.429169Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T13:15:19.206419Z digest=sha256:be45159c2708861b4e021641baf1184dc3b22408a91a31d1a6e3f99f6a0ddf53

Observation 89d0ff9b-4abb-4081-9e3c-1419e3a7b1cc · outbound

This paper cites Graph of Thoughts: Solving Elaborate Problems with Large Language Models,.

Chain-of-Thought for Large Language Model-empowered Wireless Communications Graph of Thoughts: Solving Elaborate Problems with Large Language Models,

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:15:22.136605Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T13:15:19.285665Z digest=sha256:4b660b0abbd4d88237dd381262518cfdd0a421baf619d85a6f2c05eab43b380a

Observation 9a94d873-63d5-4331-9c81-ebe86856885f · outbound

This paper cites Wireless Hallucination in Generative AI-enabled Communications: Concepts, Issues, and Solutions.

Chain-of-Thought for Large Language Model-empowered Wireless Communications Wireless Hallucination in Generative AI-enabled Communications: Concepts, Issues, and Solutions

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-07T13:15:19.351813Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:15:19.351813Z digest=sha256:dfc9f0397e41e33e0f41160823c386a913096ba27d9737979ae6276a523d1304

Observation 7ce4aad3-42c4-4c08-8a3f-0990d7fc24be · outbound

This paper cites Chain of Preference Optimization: Improving Chain-of-Thought Reasoning in LLMs,.

Chain-of-Thought for Large Language Model-empowered Wireless Communications Chain of Preference Optimization: Improving Chain-of-Thought Reasoning in LLMs,

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:15:21.789419Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T13:15:19.444996Z digest=sha256:8140e4a325f0aa28b5a5d6b80a48f26a0fac9be1b6a4208dc61007de3bff7d09

Observation 09c6268d-ec36-41c2-9a2e-b8c1184fee4c · outbound

This paper cites Large Language Models Are Zero-Shot Reasoners,.

Chain-of-Thought for Large Language Model-empowered Wireless Communications Large Language Models Are Zero-Shot Reasoners,

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:15:21.531035Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T13:15:19.534983Z digest=sha256:709b088b7b392a4ee1d69a9b1d30ba37a1b4a9d9e4889afc40af8c51ed62e34d

Observation 222553ee-479b-45ed-b713-d73176021707 · outbound

This paper cites Automatic chain of thought prompting in large language models,.

Chain-of-Thought for Large Language Model-empowered Wireless Communications Automatic chain of thought prompting in large language models,

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:15:21.325522Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T13:15:19.602730Z digest=sha256:3a502a8b4bf746732ce5ad88968e54cb234b2f0dc9647feb26adb1480a08bd12

Observation 91210693-e91e-4e08-a396-ccf4a1ec18fa · outbound

This paper cites Self-Consistency Improves Chain of Thought Reasoning in Language Models,.

Chain-of-Thought for Large Language Model-empowered Wireless Communications Self-Consistency Improves Chain of Thought Reasoning in Language Models,

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:15:21.125944Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T13:15:19.679884Z digest=sha256:92bb27dfb76e7de81f6621a18deabe4116d4bac093cabfaa59557fc2359a1501

Observation c9b3a1ff-050e-484c-a6b9-0400da411633 · outbound

This paper cites Tree of Thoughts: Deliberate Problem Solving with Large Language Models,.

Chain-of-Thought for Large Language Model-empowered Wireless Communications Tree of Thoughts: Deliberate Problem Solving with Large Language Models,

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:15:20.967089Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T13:15:19.774521Z digest=sha256:a427e62a47b256bb0ef6475ce0629041dce66e7f1701f1a0664785940bc7193c

Observation 02448147-7fe1-4d41-ac03-9dd7314345cb · outbound

This paper cites SCoTT: Strategic Chain-of-Thought Tasking for Wireless-Aware Robot Navigation in Digital Twins.

Chain-of-Thought for Large Language Model-empowered Wireless Communications SCoTT: Strategic Chain-of-Thought Tasking for Wireless-Aware Robot Navigation in Digital Twins

Reference 11

Resolution
verified exact
local_arxiv, observed 2026-08-07T13:15:20.398957Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T13:15:19.831816Z digest=sha256:0a01dd421b78871208006941ea8ba3e39f7f1393ab2654a9224a13e0bc994e29

Observation ad090101-5430-4db1-89fb-d093eeb6d4fb · outbound

This paper cites Large Language Models for Wireless Networks: An Overview from the Prompt Engineering Perspective,.

Chain-of-Thought for Large Language Model-empowered Wireless Communications Large Language Models for Wireless Networks: An Overview from the Prompt Engineering Perspective,

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:15:20.845989Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T13:15:19.904857Z digest=sha256:922ba51e24343fdce338ba94015f2ab1d2bdfcaa8922486457ff1cf197ac7283

Observation 72805298-d76e-4300-86b7-0d05a609bf20 · outbound

This paper cites Rethinking Generative Semantic Communication for Multi-User Systems with Large Language Models.

Chain-of-Thought for Large Language Model-empowered Wireless Communications Rethinking Generative Semantic Communication for Multi-User Systems with Large Language Models

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-07T13:15:19.982214Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:15:19.982214Z digest=sha256:3ac6de35b855856dc36dd3590216e93ec41e42178e340a0aecd6d6260fd9fa9e

Observation 5da471b8-18b9-479d-9fca-982868ffc8ac · outbound

This paper cites Large Language Models Empower Multimodal Integrated Sensing and Communication,.

Chain-of-Thought for Large Language Model-empowered Wireless Communications Large Language Models Empower Multimodal Integrated Sensing and Communication,

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:15:20.727299Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T13:15:20.070511Z digest=sha256:4d00ab0fa553dbf63fa708a5093106625ccfe0d8d277bb98e16977f991f20b9b

Observation 5a0ca61d-45bc-489d-88e0-b9a3be31b237 · outbound

This paper cites Evolving Chain-of-Thought And Automatic Text Annotation Based Intent Classification Method for Wireless Network,.

Chain-of-Thought for Large Language Model-empowered Wireless Communications Evolving Chain-of-Thought And Automatic Text Annotation Based Intent Classification Method for Wireless Network,

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:15:20.608649Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T13:15:20.155944Z digest=sha256:9b98c9ceaeba52c751fce7dabd1111cadba633ff57a46b5375f203d3ff0fc8c7

Pith citing papers

Observation 5f8f994e-d582-47dd-b0a2-bd970c44f9f6 · inbound

Toward Edge General Intelligence with Multiple-Large Language Model (Multi-LLM): Architecture, Trust, and Orchestration cites this paper.

Toward Edge General Intelligence with Multiple-Large Language Model (Multi-LLM): Architecture, Trust, and Orchestration Chain-of-Thought for Large Language Model-empowered Wireless Communications

Reference 174

Resolution
unresolved
no resolver link, observed 2026-08-06T21:16:15.009546Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:16:15.009546Z digest=sha256:9f661c5b439c07a690c3fad23446e4e556e4c73341c1f57edadc015f145a3ff3

Observation af8526dd-2f7d-451b-8fdf-e2342e99e6fa · inbound

Toward Edge General Intelligence with Agentic AI and Agentification: Concepts, Technologies, and Future Directions cites this paper.

Toward Edge General Intelligence with Agentic AI and Agentification: Concepts, Technologies, and Future Directions Chain-of-Thought for Large Language Model-empowered Wireless Communications

Reference 143

Resolution
unresolved
no resolver link, observed 2026-08-05T16:20:59.740970Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T16:20:59.740970Z digest=sha256:c01e5e5ea4284fa9dd4a83372d286c8e0a0a59807b4ab2ad9ff730a55920d97f

Observation ca872e81-40b9-4e47-8d97-a45366a9b0a0 · inbound

Large Language Models for Next-Generation Wireless Network Management: A Survey and Tutorial cites this paper.

Large Language Models for Next-Generation Wireless Network Management: A Survey and Tutorial Chain-of-Thought for Large Language Model-empowered Wireless Communications

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-05T04:50:31.626703Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T04:50:31.626703Z digest=sha256:894d80b6aa95d0c9508322e7b4b7f5b036dd360076a08e4dce91d291a6c01026

Observation 29bf750a-603b-4246-a8b3-06b5522a1ca5 · inbound

AI Reasoning for Wireless Communications and Networking: A Survey and Perspectives cites this paper.

AI Reasoning for Wireless Communications and Networking: A Survey and Perspectives Chain-of-Thought for Large Language Model-empowered Wireless Communications

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-04T19:34:22.822658Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T19:34:22.822658Z digest=sha256:0c1e140f6bcc5ca929c58175e6756841e3bee30284fad3cb103b13ee7815e942

Observation 5fe499ec-5ed9-4b0e-9f9b-0c90c8c6cefa · inbound

Agentic AI for ISAC: Analysis, Framework, and Case Study cites this paper.

Agentic AI for ISAC: Analysis, Framework, and Case Study Chain-of-Thought for Large Language Model-empowered Wireless Communications

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-03T15:58:27.306244Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T15:58:27.306244Z digest=sha256:7eac7e418196b9fa015e64d78656e62b9e1920bd2ced38f4575c6744561c6bc7

Observation ae69836d-e1ac-4f3f-8877-49f73b0655e3 · inbound

Chain-of-Thought Reasoning Enhances In-Context Learning for LLM-Based Mobile Traffic Prediction cites this paper.

Chain-of-Thought Reasoning Enhances In-Context Learning for LLM-Based Mobile Traffic Prediction Chain-of-Thought for Large Language Model-empowered Wireless Communications

Reference 27

Resolution
verified exact
arxiv_id, observed 2026-05-12T05:51:26.263450Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-12T04:52:07.910558Z digest=sha256:25d3f16382952813de33db2d4a4f32a662a1a9b75f87d7e98d492a8beb9ea0d1